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Oracle 1Z0-084 Exam
- Topic 1: Basic Tuning Methods and Diagnostics: This section covers the key aspects of tuning methodologies, including the different phases of the tuning lifecycle, the time model used to understand performance, the concept of wait events, and the use of dynamic performance views to diagnose performance problems.
- Topic 2: Using Statspack: This topic focuses on configuration and installation of Statspack. It also explains how to use Statspack to diagnose problems.
- Topic 3: Using Log and Trace Files to Monitor Performance: This topic covers the use of Alert Log to Monitor Performance. Moreover, it also discusses usage of Trace files to Monitor Performance.
- Topic 4: Using Metrics, Alerts and Baselines: Monitoring of performance by using metric thresholds and alerts is discussed. It also focuses on the usage of AWR baselines for the monitoring of performance.
- Topic 5: Using AWR-Based Tools: This topic is about diagnosing issues related to performance by using ADDM and ASH reports. It also dives into usage of Automated Maintenance Tasks for the management of Performance.
- Topic 6: Performing Oracle Database Application Monitoring: It focuses on implementation of Real-Time Database Operation Monitoring. The topic also covers configuration and usage of services to monitor database Application performance.
- Topic 7: Identifying Problem SQL Statements: It focuses on the phases of SQL statement processing, usage of formatted output of SQL Trace, and assessment of Adaptive and Dynamic Execution plans. The topic also dives into the sub-topic which is related to Monitoring Automatic Reoptimization and SQL Plan Directives.
- Topic 8: Influencing the Optimizer: It explains the influence of statistics and parameters of configuration.
- Topic 9: Reducing the Cost of SQL Operations: This topic covers Shrinking Segments, Management of Chaining and Migration, and Configuration of Index and Table Performance Options. It also discusses configuration of table compression and diagnosis and tuning of space related issues.
- Topic 10: Using Real Application Testing: Usage of SQL Performance Analyzer to assess the impact of database changes is discussed in this topic. It also focuses on the usage of Database Replay to evaluate the impact of system change on performance.
- Topic 11: SQL Performance Management: This section focuses on the management of optimizer statistics, the use of the Optimizer Statistics Advisor, the leveraging of the SQL Access and SQL Tuning advisors to tune SQL statements, and the application of SQL Plan Management to improve SQL statement performance.
- Topic 12: Tuning the Shared Pool: It covers the tuning of the shared pool in the Oracle database, including diagnosing and resolving performance problems related to the shared pool, as well as managing and tuning the result cache.
- Topic 13: Tuning the Buffer Cache: The topic addresses delves into diagnosing and resolving performance problems related to the buffer cache, as well as diagnosing database I/O issues. Additionally, the topic explains the configuration of Big Table Caching and Flash Cache.
- Topic 14: Tuning the PGA: This section focuses on diagnosing and resolving performance issues related to the PGA, as well as addressing performance issues related to the temporary tablespace.
- Topic 15: Using Automatic Memory Management: It covers the use of Automatic Memory Management in the Oracle database, including the configuration of Automatic Shared Memory Management and Automatic Memory Management.
- Topic 16: Using In-Memory Features: It focuses on the configuration and utilization of the In-Memory column store to improve SQL performance. The topic also discusses use of the In-Memory column store with other database features.
Free Oracle 1Z0-084 Exam Actual Questions
Note: Premium Questions for 1Z0-084 were last updated On May. 10, 2024 (see below)
You need to transport performance data from a Standard Edition to an Enterprise Edition database. What is the recommended method to do this?
To transport performance data from an Oracle Database Standard Edition, which uses Statspack, to an Enterprise Edition database, which uses AWR, you must consider the compatibility of data structures and repository schemas between these tools. The recommended method is:
D (Correct): Export the data using the exp utility with a parameter file appropriate for Statspack (like spuexp.par) from the Statspack repository and import it into a dedicated Statspack schema on the destination. Since Statspack and AWR use different schemas, it's not recommended to import Statspack data directly into the AWR repository.
The other options are incorrect because:
A (Incorrect): expdp is not designed to export from Statspack, and awrload is intended for loading from an AWR export file, not a Statspack export.
B (Incorrect): Although expdp and impdp are used for exporting and importing data, the AWR repository schema is different from the Statspack schema, so importing Statspack data directly into the AWR repository is not recommended.
C (Incorrect): Using expdp to export from Statspack and then importing directly into the AWR repository is not the correct approach due to the schema differences between Statspack and AWR.
Oracle Database Performance Tuning Guide: Migrating from Statspack to AWR
Multiple sessions are inserting data concurrently into a table that has an LOB column.
At some point in time, one of the sessions cannot find available space in the LOB segment and needs to allocate a new extent.
Which wait event will be raised in the other sessions that need space in the LOB column?
When sessions concurrently insert data into a table with an LOB column and one session needs to allocate a new extent because it cannot find available space, the wait event associated with this contention is 'enq: HW - contention'. The HW stands for High Water Mark which is related to space allocation in the database segment. When a session needs to allocate a new extent, it may raise this wait event in other sessions that are also attempting to allocate space in the same LOB segment.
Reference
Oracle Database 19c Reference Guide - enq: HW - contention
What are the least elevated values of statistics_level and C0NTR0LJ4ANAGEMENT_PACK_ACCESS that allow the usage of Monitoring of Database Operations?
Monitoring of Database Operations requires that the STATISTICS_LEVEL parameter be set to ALL and CONTROL_MANAGEMENT_PACK_ACCESS be set to DIAGNOSTIC+TUNING. These settings enable all the advisory features and automatic tuning features within the Oracle Database, including the Automatic Workload Repository (AWR), Automatic Database Diagnostic Monitor (ADDM), and the full functionality of the SQL Tuning Advisor and SQL Access Advisor, which are components of the Diagnostic and Tuning packs.
STATISTICS_LEVEL=ALL: This setting enables the collection of all system statistics for problem detection and self-tuning purposes.
CONTROL_MANAGEMENT_PACK_ACCESS=DIAGNOSTIC+TUNING: This grants access to both the Diagnostic Pack and the Tuning Pack, which are essential for detailed performance monitoring and tuning capabilities.
Oracle Database Reference: STATISTICS_LEVEL
Oracle Database Licensing Information User Manual: Oracle Database Management Packs
A database instance is suffering poor I/O performance on two frequently accessed large tables.
No Big Table caching occurs in the database.
Examine these parameter settings:
Which are two actions either one of which will allow Big Table caching to occur?
Big Table caching is a feature that allows frequently accessed large tables to be cached in memory to improve I/O performance. From the parameter settings provided, Big Table caching is not occurring because DB_BIG_TABLE_CACHE_PERCENT_TARGET is set to 10, which is the minimum threshold for enabling the feature, but the size of the cache is too small for the big tables to be effectively cached.
To enable Big Table caching, one of the following actions could be taken:
C (Correct): Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25. This action would allocate a larger percentage of the buffer cache for storing big tables, which could allow for caching large tables and thus improve I/O performance.
D (Correct): Increasing DB_CACHE_SIZE to 1G. Since the size of the buffer cache is a determining factor for how much data can be cached, increasing this parameter would provide more memory space for big tables to be cached.
Options A, B, E, and F will not enable Big Table caching because:
A: Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to 50 without adjusting the overall size of the cache might still not be sufficient if the DB_CACHE_SIZE is not large enough to hold the big tables.
B: Setting DB_KEEP_CACHE_SIZE to at least 50M only specifies a separate buffer pool for objects with the KEEP cache attribute and does not affect Big Table caching.
E: and F: Changing the PARALLEL_DEGREE_POLICY to ADAPTIVE or AUTO influences the behavior of parallel execution but does not directly enable or influence Big Table caching.
Oracle Database Performance Tuning Guide: Big Table Caching
Oracle Database Reference: DB_BIG_TABLE_CACHE_PERCENT_TARGET
What is the right time to stop tuning an Oracle database?
The right time to stop tuning an Oracle database is often determined by the point of diminishing returns - when the cost of further tuning (in terms of time, resources, or money) exceeds the performance benefits gained. This is often related to the budget allocated for performance tuning.
A (Correct): When the allocated budget for performance tuning has been exhausted, it may be time to stop tuning unless the benefits of further tuning justify requesting additional budget.
B (Incorrect): Eliminating all concurrency waits from the Top 10 is an unrealistic goal since some waits are inevitable and can occur due to application design, which might not be possible to eliminate completely.
C (Incorrect): The buffer cache and library cache hit ratio being above 95% does not necessarily indicate that the database is fully optimized. Hit ratios are not reliable indicators of database performance and should not be used as sole criteria to end tuning efforts.
D (Incorrect): Having I/O less than 10% of DB time is not a definitive indicator to stop tuning. It is essential to consider the overall performance goals and whether they have been met rather than focusing solely on I/O metrics.
Oracle Database Performance Tuning Guide: Introduction to Performance Tuning
Oracle Database 2 Day + Performance Tuning Guide: Understanding the Tuning Process
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